Descrição da Função
The Company You Will Work
A leading European player in the renewable energy sector, this organization develops, owns, and operates clean energy assets across technologies such as wind, solar, biomass, and energy storage. With over 4 GW of installed capacity and a development pipeline exceeding 18 GW, it is deeply committed to accelerating the energy transition through innovation, sustainability, and digital transformation.
Your New Mission
Develop, implement, and maintain scalable data platform architectures to support advanced analytics initiatives.
Continuously monitor and enhance the performance, scalability, and cost-efficiency of data infrastructure.
Manage daily operations of the data environment, including incident response, disaster recovery strategies, and system maintenance.
Define and oversee data lifecycle processes such as version control, archiving, and retention strategies.
Collaborate with analytics teams to design data models and support use cases involving AI, machine learning, and data-driven insights.
Build and evolve enterprise-wide data models that integrate information from various domains to enable analytical capabilities.
Encourage cross-team collaboration to drive innovation and deliver impactful data solutions.
Design the technical and IT architecture for use cases, ensuring alignment with established standards and best practices.
Clearly communicate data architecture concepts to stakeholders and work closely with domain experts to implement solutions.
Provide guidance and mentorship to junior data engineers and architects while coordinating with other technical teams.
Ensure data quality, consistency, security, and compliance across the organization, in coordination with cybersecurity teams.
What You Need to be Succeed
Over 5 years of experience in a Data Architect role, preferably within cloud-based data ecosystems
Hands-on experience with at Azure and their data services
Proficiency in cloud-native data platforms such as Databricks, Snowflake, or Azure Fabric, with knowledge of Spark, Delta Lake, etc.
Familiarity with both relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle) and NoSQL technologies (e.g., MongoDB, Cassandra).
Strong SQL capabilities; experience with Python or Scala for data engineering; comfortable using version control tools.
Solid understanding of enterprise data architecture patterns, including data lakes, warehouses, lakehouses, and cloud-native solutions.
Experience with methodologies such as Inmon, Data Vault 2.0, Kimball, and dimensional modeling.
Knowledge of data integration techniques and ETL/ELT tools (e.g., Apache Airflow, Azure Data Factory, Informatica, Talend).
Familiarity with DevOps/MLOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Basic understanding of data protection practices, encryption, identity and access management, and regulatory compliance (e.g., GDPR, CCPA).
Ability to identify technical risks and performance issues, and implement effective mitigation or optimization strategies.
Understanding of data lineage, metadata management, cataloging tools, data quality frameworks, and stewardship processes.
Basic knowledge of real-time data streaming tools (e.g., Kafka) for ingestion and processing.
Proactive in evaluating and recommending new technologies, frameworks, and platforms aligned with evolving business needs.
Proven experience in designing and optimizing big data pipelines, architectures, and datasets.
Ability to translate complex technical concepts into clear, business-friendly language.
Strong organizational skills with a background in project and change management.
Experience working in fast-paced, cross-functional team environments.
Excellent communication skills, both written and verbal, for effective collaboration across teams.
Ability to foster a data-centric culture, promote best practices, and guide multidisciplinary teams.
Skilled in assessing third-party solutions, managing vendor relationships, and negotiating contracts.
Capable of identifying delivery gaps and addressing them through strategic thinking and leadership.
What The Company Can Offer You
Competitive Salary Package
Annual Bonus
Meal Allowance
Health Insurance (for you and your family)
Life Insurance
Gym Allowance
Home Allowance
Hybrid Work Model
Integration in Global Projects
Next Steps
If you’re interested in this opportunity, please send us your updated CV. If you’re looking for a different kind of professional challenge, feel free to reach out to discuss other career opportunities — always with complete confidentiality.
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